Abstract
Huntington’s disease is an autosomal dominant neurodegenerative disorder characterized by motor and cognitive impairment. At the early stages of the disease scientists have observed psychological changes and differences in patients’ alpha, beta and theta powers. The early diagnosis of Huntington’s disease is very important in order to administrate the correct medication to the patients and slow down the progress of the disease. This paper aims to suggest a protocol in which experiments could be based on, in an attempt to make an early diagnosis of the disease by taking into consideration the patients’ electroencephalographic recordings during the early stages of the disease, as well as the methods of processing and classifying those EEG signals.
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Bobori, C. (2017). Diagnostic Evaluation of Huntington’s Disease Within the Frame of Bioinformatics. In: Vlamos, P. (eds) GeNeDis 2016. Advances in Experimental Medicine and Biology, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-319-57379-3_11
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DOI: https://doi.org/10.1007/978-3-319-57379-3_11
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